Customized linear discriminant analysis for brain-computer interfaces

Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering

Volumn , Issue , 2007, Pages 430-433

  Dias, N S ^a   Kamrunnahar, M ^b   Mendes, P M ^a   Schiff, S J ^b   Correia, J H ^a  

^a UNIVERSITY OF MINHO   (Portugal)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; DATA STRUCTURES; DISCRIMINANT ANALYSIS; ERROR ANALYSIS; IMAGE SENSORS;

DIMENSIONALITY; FREQUENCY RANGES; LINEAR DISCRIMINANT ANALYSIS;

HUMAN COMPUTER INTERACTION;

EID: 34548805472     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CNE.2007.369701     Document Type: Conference Paper

References (6)

1. J.R.Wolpaw, D.J.McFarland, and T.M.Vaughan, "Brain-Computer Interface Research at the Wadsworth Center," IEEE TRANSACTIONS ON REHABILITATION ENGINEERING, vol. 8, no. 2, pp. 222-226, June2000.
2. C.Guger, H.Ramoser, and G.Pfurtscheller, "Real-Time EEG Analysis with Subject-Specific Spatial Patterns for a Brain-Computer Interface (BCI)," IEEE TRANSACTIONS ON REHABILITATION ENGINEERINGS, vol. 8, no. 4, pp. 447-456, 2000,.
3. R.A.Fisher, "The use of multiple measurements in taxonomic problems,". ANNALS OF EUGENICS, 7 ed 1936, pp. 179-188.
4. S.J.Schiff, T.Sauer, R.Kumar, and S.L. Weinstein, "Neuronal spatiotemporal pattern discrimination: The dynamical evolution of seizures.,". NEUROIMAGE, 28, pp. 1043-1055, 2005.
5. B.Flury, A First Course in Multivariate Statistics. New York: Springer, 1997.
6. D.J.McFarland and J.R.Wolpaw, "Sensorimotor Rhythm-Based Brain-Computer Interface (BCI): Feature Selection by Regression Improves Performance," IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION, vol. 13, no. 3, pp. 372-379, 2005.